Federated Learning on Heterogeneous Images in Internet of Biomedical Things
Federated Learning (FL) allows the Internet of bioMedical Things (IoMT) devices to collaboratively train a global model without centralizing data, yet the heterogeneity of biomedical images poses challenges in achieving optimal performance for each IoMT device. Although many personalized FL methods...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2024-12-01
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| Series: | Big Data Mining and Analytics |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2024.9020067 |
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